(PEXST)
The Doctor of Philosophy in Experimental Statistics is open to students holding a BS or MS in statistics-related degree programs. To become a doctoral candidate, a student must pass a qualifying examination, need the one-year residency requirement, fulfill the two-semesters teaching requirement, and complete a minimum of 54 semester hours of approved course work beyond the BS (34 hours of coursework plus 20 hours of dissertation research).
A doctoral student in Experimental Statistics must complete the following 12-hour core:
EXST 7104 Advanced Statistical Methods I (3)
EXST 7114 Advanced Statistical Methods II (3)
EXST 7160 Advanced Statistical Inference I (3)
EXST 7161 Advanced Statistical Inference II (3)
The remaining hours of coursework will be selected from 7000-level Experimental Statistics courses or a graduate courses from other departments and approved by the advisory committee. A minimum of 12 credits of coursework at the 7000-level must be taken in the department, regardless of the transferred credit. All students must complete one academic year of residence within the Ph.D. program after a program of study is filed with the Graduate School, and are also required to teach a minimum of two semesters during their program of study.
To complete the program and obtain the Ph.D. in Statistics, students will be required to pass a general examination, to conduct original research in statistics, write a dissertation of publishable quality on this research, and to pass a final examination in defense of this dissertation. Examinations and the dissertation will follow established Graduate School guidelines.
To complete the program successfully, students need a working knowledge of multidimensional calculus and linear (matrix) algebra. Qualified students who have not had adequate training in mathematics can be admitted and allowed to schedule appropriate courses to satisfy this requirement. These background courses will not count for degree credit.
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